ArticleAddiction science & clinical practice2021
A pilot study of the functionality and clinician acceptance of a clinical decision support tool to improve primary care of opioid use disorder.
Article in Addiction science & clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03559179 (Clinical Decision Support for Opioid Use Disorders in Medical Settings), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Clinical Decision Support for Opioid Use Disorders in Medical Settings: Pilot Usability Testing in an EMR
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Methodological innovations to advance substance use disorder research: Proceedings of a NIDA workshop on target trial emulation and translational testing of digital health tools.Journal of substance use and addiction treatment · 2026Article
- Article
- MOUD 2.0: a clinical algorithm and implementation evaluation protocol for sublingual and injectable buprenorphine treatment of opioid use disorder.Frontiers in psychiatry · 2024Article
- The potential impact of clinical decision support on nonwaivered primary care clinicians' prescribing of buprenorphine.Health affairs scholar · 2023Article
- Primary care provider confidence in addressing opioid use disorder: A concept analysis.Research in nursing & health · 2023Article
- Design of a pragmatic clinical trial to improve screening and treatment for opioid use disorder in primary care.Contemporary clinical trials · 2023Article
- Clinician Perceptions About a Decision Support System to Identify and Manage Opioid Use Disorder.Journal of the American Board of Family Medicine : JABFMArticle
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveMost Americans with opioid use disorder (OUD) do not receive indicated medical care. A clinical decision support (CDS) tool for primary care providers (PCPs) could address this treatment gap. Our primary objective was to build OUD-CDS tool and demonstrate its functionality and accuracy. Secondary objectives were to achieve high use and approval rates and improve PCP confidence in diagnosing and treating OUD.
methodsA convenience sample of 55 PCPs participated. Buprenorphine-waivered PCPs (n = 8) were assigned to the intervention. Non-waivered PCPs (n = 47) were randomized to intervention (n = 24) or control (n = 23). Intervention PCPs received access to the OUD-CDS, which alerted them to patients at potentially increased risk for OUD or overdose and guided diagnosis and treatment. Control PCPs provided care as usual.
resultsThe OUD-CDS was functional and accurate following extensive multi-phased testing. PCPs used the OUD-CDS in 5% of encounters with at-risk patients, far less than the goal of 60%. OUD screening confidence increased for all intervention PCPs and OUD diagnosis increased for non-waivered intervention PCPs. Most PCPs (65%) would recommend the OUD-CDS and found it helpful with screening for OUD and discussing and prescribing OUD medications. DISCUSSION: PCPs generally liked the OUD-CDS, but use rates were low, suggesting the need to modify CDS design, implementation strategies and integration with existing primary care workflows.
conclusionThe OUD-CDS tool was functional and accurate, but PCP use rates were low. Despite low use, the OUD-CDS improved confidence in OUD screening, diagnosis and use of buprenorphine. NIH Trial registration NCT03559179. Date of registration: 06/18/2018. URL: https://clinicaltrials.gov/ct2/show/NCT03559179.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.